| Two-sample test of high dimensional means under dependence T Tony Cai, W Liu, Y Xia Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014 | 301 | 2014 |
| Two-sample covariance matrix testing and support recovery in high-dimensional and sparse settings T Cai, W Liu, Y Xia Journal of the American Statistical Association 108 (501), 265-277, 2013 | 257 | 2013 |
| Testing differential networks with applications to the detection of gene-gene interactions Y Xia, T Cai, TT Cai Biometrika 102 (2), 247-266, 2015 | 118 | 2015 |
| Hypothesis testing of matrix graph model with application to brain connectivity analysis Y Xia, L Li Biometrics 73 (3), 780-791, 2017 | 51 | 2017 |
| High-dimensional sparse MANOVA TT Cai, Y Xia Journal of Multivariate Analysis 131, 174-196, 2014 | 48 | 2014 |
| Adaptive confidence intervals for regression functions under shape constraints TT Cai, MG Low, Y Xia | 45 | 2013 |
| Individual data protected integrative regression analysis of high-dimensional heterogeneous data T Cai, M Liu, Y Xia Journal of the American Statistical Association 117 (540), 2105-2119, 2022 | 33 | 2022 |
| Differential Markov random field analysis with an application to detecting differential microbial community networks TT Cai, H Li, J Ma, Y Xia Biometrika 106 (2), 401-416, 2019 | 30 | 2019 |
| LAWS: A locally adaptive weighting and screening approach to spatial multiple testing TT Cai, W Sun, Y Xia Journal of the American Statistical Association 117 (539), 1370-1383, 2022 | 27 | 2022 |
| Multiple testing of submatrices of a precision matrix with applications to identification of between pathway interactions Y Xia, T Cai, TT Cai Journal of the American Statistical Association 113 (521), 328-339, 2018 | 27 | 2018 |
| Integrative high dimensional multiple testing with heterogeneity under data sharing constraints M Liu, Y Xia, K Cho, T Cai Journal of Machine Learning Research 22 (126), 1-26, 2021 | 24 | 2021 |
| Matrix graph hypothesis testing and application in brain connectivity alternation detection Y Xia, L Li Statistica Sinica 29 (1), 303-328, 2019 | 24 | 2019 |
| Two-sample tests for high-dimensional linear regression with an application to detecting interactions Y Xia, T Cai, TT Cai Statistica Sinica 28, 63, 2018 | 23 | 2018 |
| Gap: A general framework for information pooling in two-sample sparse inference Y Xia, TT Cai, W Sun Journal of the American Statistical Association, 2020 | 21 | 2020 |
| Joint testing and false discovery rate control in high-dimensional multivariate regression Y Xia, TT Cai, H Li Biometrika 105 (2), 249-269, 2018 | 19 | 2018 |
| A normality test for high-dimensional data based on the nearest neighbor approach H Chen, Y Xia Journal of the American Statistical Association 118 (541), 719-731, 2023 | 15* | 2023 |
| Testing and support recovery of correlation structures for matrix-valued observations with an application to stock market data X Chen, D Yang, Y Xu, Y Xia, D Wang, H Shen Journal of Econometrics, 2023 | 12 | 2023 |
| Simultaneous covariance inference for multimodal integrative analysis Y Xia, L Li, SN Lockhart, WJ Jagust Journal of the American Statistical Association, 2020 | 7 | 2020 |
| Locally adaptive transfer learning algorithms for large-scale multiple testing Z Liang, TT Cai, W Sun, Y Xia arXiv preprint arXiv:2203.11461, 2022 | 6 | 2022 |
| Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control Y Xia Test 26 (4), 782-801, 2017 | 5 | 2017 |
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaVerified email at wharton.upenn.edu
